Manager, Data Engineering

🕒 October 19

🇺🇸 United States – Remote

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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📋 Description

• Lead, mentor, and grow a team of data engineers, including hiring, onboarding, career development, and performance management • Own the technical roadmap and architecture for the Enterprise Data platform built on Snowflake and Airflow • Embed agentic tools into daily workflows for pipeline development, testing, documentation, and code review • Coach engineers on agent-assisted or autonomous data quality checks, self-healing pipelines, and LLM-powered data products • Partner with Analytics, Data Science, Product, and business stakeholders to create reliable, well-governed data products • Set and enforce standards for data quality, observability, lineage, and cost efficiency • Drive data pipeline modernization and evaluate new data and AI tooling • Establish scalable design review, incident response, and documentation practices • Report on team health, delivery, and platform reliability to engineering and business leadership

🎯 Requirements

• 7+ years in data engineering • 3+ years directly managing or leading a team of data engineers • Deep, hands-on production experience with Snowflake and Apache Airflow • Experience with performance tuning, cost management, and workflow orchestration at scale • Experience working with distributed teams across time zones • Strong SQL and Python skills • Experience with dbt, Fivetran/Airbyte, or similar modern ELT tooling • Professional experience using AI coding assistants or agentic tools such as Claude Code, GitHub Copilot, Cursor, or Snowflake CoCo • Track record of mentoring and developing engineers • Working knowledge of data modeling, data governance, and data security/compliance practices • Excellent communication skills • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

🏖️ Benefits

• Optional collaborative workspaces in Austin, Atlanta, and London for team gatherings, workshops, and in-person connection • Possible variable compensation such as bonus or commission, where applicable • Equity, where applicable • Benefits in accordance with local policies • Inclusive and accessible hiring experience • Remote-first work arrangement

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